Job Description:
- 5+ years of data warehousing/engineering, software solutions design and development experience.
- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.
- Work with other Bigdata developers to make sure that all data solutions are consistent.
- Partner with business community to understand requirements, determine training needs and deliver user training sessions.
- Perform technology and product research to better define requirements, resolve important issues and improve the overall capability of the analytics technology stack.
- Evaluate and provides feedback on future technologies and new releases/upgrades. - Supports Big Data and batch/real-time analytical solutions leveraging transformational technologies.
- Works on multiple projects as a technical team member or drive user requirement analysis and elaboration, design and development of software applications, testing, and builds automation tools.
- Ability to Research and incubate new technologies and frameworks.
- Experience with agile or other rapid application development methodologies and tools like bitbucket, Jira, confluence.
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Hands-on experience in Databricks stack
- Data Engineering technologies (Ex: Spark, Hadoop, Kafka etc.,)
- Must me proficient in Streaming technologies
- Hands-on in Python, SQL
- Expertise in implementing Data warehousing solutions
- Expertise in Any ETL tool i.e. (SSIS, Redwood)
- Good understanding on submitting jobs using Workflows, API & CLI
We offer you:
- A first-hand experience with C-Suite focused business advisory in the space of data & analytics.
- An opportunity to make deep industry connections with data science experts, client teams, and domain champions and be part of the change transforming the business environment today.
- A chance to try new things & take risks.
- Meaningful problems you'll be proud of solving.
- People you will be comfortable working with.
Key metrics for you will be:
- Solution quality and business value delivered to client
- Successful project deliveries
- Customer satisfaction on engagements
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